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<h1>ipyramid</h1><p><span class="helptopic">Pyramidal image decomposition</span></p><strong>out</strong> = <span style="color:red>ipyramid</span>(<strong>im</strong>) is a pyramid decomposition of input image <strong>im</strong> using
Gaussian smoothing with standard deviation of 1.  <strong>out</strong> is a cell array of
images each one having dimensions half that of the previous image. The
pyramid is computed down to a non-halvable image size.

<strong>out</strong> = <span style="color:red>ipyramid</span>(<strong>im</strong>, <strong>sigma</strong>) as above but the Gaussian standard deviation
is <strong>sigma</strong>.

<strong>out</strong> = <span style="color:red>ipyramid</span>(<strong>im</strong>, <strong>sigma</strong>, <strong>n</strong>) as above but only <strong>n</strong> levels of the pyramid are
computed.

<h2>Notes</h2>
<ul>
  <li>Works for greyscale images only.</li>
</ul>
<h2>See also</h2>
<p>
<a href="matlab:doc iscalespace">iscalespace</a>, <a href="matlab:doc idecimate">idecimate</a>, <a href="matlab:doc ismooth">ismooth</a></p>
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